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This dataset covers 691 verified records spread across 15+ districts in Nagaland. 691 records carry a verified phone number and 242 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kohima (208 listings), Kiphire (104 listings), Noklak (69 listings), Chumoukedima (52 listings), Wokha (42 listings), Tseminyu (35 listings), Mokokchung (30 listings), and Niuland (26 listings).
Additional coverage spans Longleng (23), Tuensang (21), Peren (19), Dimapur (17), Phek (16), Mon (15), Zunheboto (14) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kohima | 208 | 208 | 73 |
| Kiphire | 104 | 104 | 36 |
| Noklak | 69 | 69 | 24 |
| Chumoukedima | 52 | 52 | 18 |
| Wokha | 42 | 42 | 15 |
| Tseminyu | 35 | 35 | 12 |
| Mokokchung | 30 | 30 | 11 |
| Niuland | 26 | 26 | 9 |
| Longleng | 23 | 23 | 8 |
| Tuensang | 21 | 21 | 7 |
| All districts (15) | 691 | 691 | 242 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kohima | 208 | 208 | 73 |
| Kiphire | 104 | 104 | 36 |
| Noklak | 69 | 69 | 24 |
| Chumoukedima | 52 | 52 | 18 |
| Wokha | 42 | 42 | 15 |
| Tseminyu | 35 | 35 | 12 |
| Mokokchung | 30 | 30 | 11 |
| Niuland | 26 | 26 | 9 |
| Longleng | 23 | 23 | 8 |
| Tuensang | 21 | 21 | 7 |
| Peren | 19 | 19 | 7 |
| Dimapur | 17 | 17 | 6 |
| Phek | 16 | 16 | 6 |
| Mon | 15 | 15 | 5 |
| Zunheboto | 14 | 14 | 5 |
| All districts (15) | 691 | 691 | 242 |
The Tea restaurants database includes 691+ verified Tea restaurants in Nagaland, India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Tea currently operates 691+ restaurants in Nagaland, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Tea restaurants CSV covering all of Nagaland, India within seconds. Every row is human-checked.
Each Tea record carries the full operational profile: Tea store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
We verify each Tea entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Nagaland, India footprint, not last year's.
Yes. The Tea restaurants dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Tea catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Tea restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Nagaland, India? This database aggregates 691+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:26 AM
Rows (Extended):
691
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
